The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Toward a veterinary informatics research agenda: An analysis of the PubMed-indexed literature
Purpose: Veterinary medicine and human health are inextricably intertwined. Effective tracking of veterinary information - veterinary informatics - impacts not only veterinary medicine, but also public health, informatics research, and clinical care. However, veterinary informatics has received little attention from the general biomedical informatics community. Methods: To identify both active and under-re searched areas in veterinary informatics, we retrieved Medical Subject Heading (MeSH) descriptors for veterinary informatics-related citations and analyzed them by topic category, animal type, and journal. Results: We found that the categories of veterinary informatics with the most growth were information/bibliographical retrieval, hardware/programming, and radiology/imaging. Less than two articles per year were published in the areas of computerized veterinary medical records, clinical decision_support, standards, and controlled vocabularies. Veterinary informatics articles primarily address production animals such as cattle and sheep, and companion animals such as cats and dogs. Six journals account for 31% of the veterinary informatics literature, 35 journals account for 66%. Conclusions: Veterinary informatics remains an embryonic field with relatively few publications. With the exception of radiology/imaging, published articles are primarily focused on non-clinical areas such as hardware/programming and information retrieval. There are very few publications on controlled vocabularies, standards, methodologies for integrating disparate systems, computerized medical records, clinical decision_support systems, and system usability. The lack of publications in these areas may hamper efforts to collect and track animal health data at a time when such data are potentially critical to human health. (c) 2006 Elsevier Ireland Ltd. All rights reserved.
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